Co-scheduling Amdahl applications on cache-partitioned systems. (January 2018)

• Record Type: Journal Article
• Authors: Aupy, Guillaume; Benoit, Anne; Dai, Sicheng; Pottier, Loïc; Raghavan, Padma; Robert, Yves; Shantharam, Manu
• Other Names: Dongarra Jack guest-editor.; Tourancheau Bernard guest-editor.
• Is Part Of: International journal of high performance computing applications. Volume 32:Number 1(2018)
• Page Start: 123
• Page End: 138
• Publication Date: 2018-01
• Subjects: Co-scheduling -- cache partitioning -- complexity results; High performance computing -- Periodicals; Supercomputers -- Periodicals; 004.1105
• DOI: 10.1177/1094342017710806
• Languages: English
• ISSNs: 1094-3420

Abstract

Cache-partitioned architectures allow subsections of the shared last-level cache (LLC) to be exclusively reserved for some applications. This technique dramatically limits interactions between applications that are concurrently executing on a multicore machine. Consider n applications that execute concurrently, with the objective to minimize the makespan, defined as the maximum completion time of the n applications. Key scheduling questions are as follows: (i) which proportion of cache and (ii) how many processors should be given to each application? In this article, we provide answers to (i) and (ii) for Amdahl applications. Even though the problem is shown to be NP-complete, we give key elements to determine the subset of applications that should share the LLC (while remaining ones only use their smaller private cache). Building upon these results, we design efficient heuristics for Amdahl applications. Extensive simulations demonstrate the usefulness of co-scheduling when our efficient cache partitioning strategies are deployed.